
In 2011, the NSW State
Government awarded CEPAR $500,000 to fund two projects,
one in finance and the other in health. The projects
will involve several researchers over a two and a half year
period and will support early career
researchers.
The projects, funded by the
NSW Government's Science Leveraging
Fund (SLF), will be undertaken by CEPAR research
personnel:
This research will strengthen
Sydney as an international leader in expertise and innovation in
financial markets, and as a national leader in proactive and
cost-effective population health and services.

Public-private Strategies
to Support Asset-liability Management for Retirement Insurance
Products
Early Career Researcher: Ramona Meyricke
Deploying stochastic optimisation
techniques to capture the inherent uncertainty of the financial
and economic environment, this
project will focus on issues such as appropriate capital reserves
for retirement insurance products, and new methodologies for
estimating systematic longevity risk, aiming to build capacity to
diversify this risk through better calibrated mortality based
derivatives. It will investigate how government policy might more
precisely support fragile insurance markets through issuing
securities which provide the potential for asset-liability
management strategies to be successfully pursued by pension funds
and related entities.

Investigating Pathways of
Health and Community Care Service Use
Researchers: Julie Byles, Hal Kendig and Karla
Heese
Australia urgently requires
information to guide and monitor major health reforms anticipating
massive population ageing and increasing demand on health services.
Of particular relevance are the challenges of redesigning care for
those with chronic and complex conditions, integrating services,
and improving distribution and access to services on the basis of
need. Such improvements in care require a better understanding of
how services respond to changes in health state, movements and
interfaces between acute, community and residential care settings,
and variations in social and economic contexts. Linkages between
longitudinal survey and health services use data are essential to
identify how specific health service usage relates to individual
changes in physical and mental health and provide the ideal
evidence base for understanding these multiple, complex and
pressing issues[1].
This program, supported by the NSW
State Leveraging Fund, is developing methods and capacity to use
routinely collected health services data to examine ways in which
the use and impacts of health and aged care services change as
people grow older and to provide information that can inform health
care service delivery, planning and policy. The emphasis will be on
linkage of health services data to population survey data; and on
methods to convert these data into information for understanding
patterns, pathways and costs of health and aged care services as
people age. The program will also develop methods for using
longitudinal and linked data to evaluate health care innovations
and programs aimed at addressing the health care needs of an ageing
population. By linking longitudinal survey data with health
services data it is possible to determine individual factors
associated with use of these services and the differential changes
in health outcomes for those who do and do not use them.
The aims are to:
1. Build platforms, methods and capacities for
using linked data to examine ways in which the use and impacts of
health and aged care services change as people grow older
including:
- Linkage of longitudinal health survey and hospital separations
data
- Basic descriptive output
- Development of methods and analytical modules
2. Undertake analyses of health care use
associated with major chronic illnesses and health risk behaviours,
and the modifying effects of age, gender, other sociodemographic
factors, and area of residence
[1] As highlighted in our previous research published:
Jorm, L., S. R. Walter, et al. (2010). 'Home and community care
services: a major opportunity for preventative care',BMC Geriatrics
10(26): 1-9.